Wind turbine control systems have evolved significantly over the past decades, moving from simple classical controllers to sophisticated artificial intelligence-based strategies. Early utility-scale ...

AI can be added to legacy motion control systems in three phases with minimal disruption: data collection via edge gateways, non-interfering anomaly detection and supervisory control integration.

1 Department of Electrical Engineering, College of Engineering, University of Baghdad, Baghdad, Iraq 2 Department of Electrical Engineering, College of Engineering, University of Wasit, Wasit, Iraq ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...

Abstract: This paper presents a machine learning-based approach for optimizing PID controller parameters in a gantry crane system using Support Vector Regression (SVR). The system is modeled in ...

Large language models are typically refined after pretraining using either supervised fine-tuning (SFT) or reinforcement fine-tuning (RFT), each with distinct strengths and limitations. SFT is ...

Abstract: This work is proposing a new approach for the design of PID controllers by employing a machine learning technique called Random Forest. Conventional design of a PID controller falls into an ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing. When you purchase through ...